{"id":1677,"date":"2025-08-26T14:28:28","date_gmt":"2025-08-26T21:28:28","guid":{"rendered":"https:\/\/www.gordonbenzie.com\/blog\/?p=1677"},"modified":"2025-09-25T10:47:35","modified_gmt":"2025-09-25T17:47:35","slug":"ai-driven-buyer-journey","status":"publish","type":"post","link":"https:\/\/www.gordonbenzie.com\/blog\/ai-driven-buyer-journey\/","title":{"rendered":"The New Role of Analyst Relations in the AI-Driven Buyer Journey"},"content":{"rendered":"\n

Marketing has transformed many times over the past two decades. The rise of websites reshaped commerce. SEO altered how companies attract buyers. Now, artificial intelligence is driving another major disruption \u2013 possibly the largest yet. The constant theme is clear: how to best invest resources to elevate brand awareness and customer engagement. The methods keep evolving, and the rules shift every few years.<\/p>\n\n\n\n

At the Product Marketing Alliance Analyst Relations Summit<\/strong> on August 21, 2025, this shift was on full display. I attended the track titled \u201cIf GenAI can\u2019t find you, neither can your buyers: The new role of AR in an AI-driven, buyer-led world.\u201d<\/em> The session was hosted by Rick Nash, CEO of Spotlight, and James Cadwallader, CEO of Profound. Together, they addressed how LLMs like ChatGPT, Gemini, Claude, DeepSeek, and Anthropic are incorporating industry analyst content and other third-party sources to shape AI-generated outputs. The message was clear: the role of analyst relations (AR) is entering a new era of importance within the AI-Driven Buyer Journey.<\/p>\n\n\n\n

Those interested in watching the entire presentation can do so by registering to attend the Analyst Relations Summit<\/a>. Once you have registered and created a profile, you should then be able to access the recordings. <\/p>\n\n\n\n\n\n\n\n

Influencers and Intent in the Digital Marketing Era<\/h3>\n\n\n\n

Marketers have long understood the value of influence. A referral or customer review often matters more than a sales pitch. As digital channels grew, the focus shifted toward measuring buyer intent through online engagement. The idea was simple: track clicks, downloads, and form fills, then use ads to push more buyers through the pipeline.<\/p>\n\n\n\n

This playbook fueled years of marketing growth. Budgets expanded around SEO, content marketing, and digital ads. Google became the central stage, and paid placements defined who appeared first. For many brands, success was about buying visibility and then nurturing interest into MQLs.<\/p>\n\n\n\n

The New AI Battleground<\/h3>\n\n\n\n

But with the rise of LLMs, this old model is cracking. Paying for a Google Ad no longer guarantees the same exposure. In fact, AI models often bypass ads altogether when answering user prompts. Instead, LLMs surface outputs weighted by trusted sources: analyst reports, customer reviews, and product evaluations.<\/p>\n\n\n\n

That means when buyers type questions into ChatGPT instead of Google, the system doesn\u2019t simply return a list of links. It generates synthesized, confident responses based on what it \u201cknows.\u201d Analyst commentary and independent assessments are increasingly central to this knowledge. These sources act like anchors for credibility, while paid ads and promotional claims fade into the background.<\/p>\n\n\n\n

For marketers, this is a profound shift. Influence now comes less from buying attention and more from shaping the knowledge embedded within AI systems. The AI-Driven Buyer Journey<\/strong> no longer begins with a paid search, but with the credibility AI finds in analyst voices.<\/p>\n\n\n\n

From Google Search to ChatGPT Query<\/h3>\n\n\n\n

To see the change, consider three examples of how search behavior is evolving:<\/p>\n\n\n\n

Choosing the Right CRM in a Regulated Industry<\/h4>\n\n\n\n